Data Platform Engineer: Build Trusted Scientific Pipelines

Procter & Gamble I'ntl Operations SA Singapore Branch; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Procter & Gamble I'ntl Operations SA Singapore Branch seeks a skilled data-engineering professional to design and operate scalable pipelines that integrate diverse scientific datasets across consumer, OMICS, and analytics domains.

You will own data interfaces, governance, and reliability, partnering with analytics and AI initiatives to enable trusted, reproducible results in cloud-based environments.

Qualifications

• Bachelor, Master or PhD in Computer Science, Data Engineering, Software Engineering or related field.
• Strong hands-on experience building data pipelines and scalable data services.
• Proficiency in Python, SQL, or comparable data-engineering technologies.
• Experience with structured and unstructured data, databases, APIs, and cloud environments.

Responsibilities

• Engineer scalable scientific data pipelines to ingest, transform, and connect data.
• Implement metadata, provenance, versioning, access, and data-quality controls to ensure trustworthiness.
• Operate data services: monitor availability, performance, and reliability; own operational support.

Skills

Python

SQL

Data pipelines

Education

Bachelor/Master/PhD in CS/Data Eng/Software Eng

Tools

APIs

Cloud platforms

Orchestration

Job description

Procter & Gamble I'ntl Operations SA Singapore Branch seeks a skilled data-engineering professional to design and operate scalable pipelines that integrate diverse scientific datasets across consumer, OMICS, and analytics domains.

You will own data interfaces, governance, and reliability, partnering with analytics and AI initiatives to enable trusted, reproducible results in cloud-based environments.